Department of Neuroscience & Padova Neuroscience Center, University of Padova, Padova, 35131 Italy; Berenson-Allen Center for Non-invasive Brain Stimulation, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02215 USA.
Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, 80309 USA.
Neuroimage. 2021 Jul 15;235:118013. doi: 10.1016/j.neuroimage.2021.118013. Epub 2021 Mar 29.
Resilience is the capacity of complex systems to persist in the face of external perturbations and retain their functional properties and performance. In the present study, we investigated how individual variations in brain resilience, which might influence response to stress, aging and disease, are influenced by genetics and/or the environment, with potential implications for the implementation of resilience-boosting interventions. Resilience estimates were derived from in silico lesioning of either brain regions or functional connections constituting the connectome of healthy individuals belonging to two different large and unique datasets of twins, specifically: 463 individual twins from the Human Connectome Project and 453 individual twins from the Colorado Longitudinal Twin Study. As has been reported previously, moderate heritability was found for several topological indexes of brain efficiency and modularity. Importantly, evidence of heritability was found for resilience measures based on removal of brain connections rather than specific single regions, suggesting that genetic influences on resilience are preferentially directed toward region-to-region communication rather than local brain activity. Specifically, the strongest genetic influence was observed for moderately weak, long-range connections between a specific subset of functional brain networks: the Default Mode, Visual and Sensorimotor networks. These findings may help identify a link between brain resilience and network-level alterations observed in neurological and psychiatric diseases, as well as inform future studies investigating brain shielding interventions against physiological and pathological perturbations.
韧性是复杂系统在面对外部干扰时持续存在并保持其功能特性和性能的能力。在本研究中,我们研究了个体大脑韧性的变化如何受到遗传和/或环境的影响,这可能对实施增强韧性的干预措施具有潜在意义。韧性估计值来自对健康个体连接组的脑区或功能连接进行计算机模拟损伤,这些个体来自两个不同的大型且独特的双胞胎数据集:来自人类连接组计划的 463 个个体双胞胎和来自科罗拉多纵向双胞胎研究的 453 个个体双胞胎。正如之前报道的那样,发现大脑效率和模块性的几个拓扑指数具有中等程度的遗传力。重要的是,基于去除脑连接而不是特定单个区域的韧性测量结果发现了遗传力的证据,这表明遗传对韧性的影响优先指向区域间的通信,而不是局部脑活动。具体而言,在特定功能脑网络(默认模式、视觉和感觉运动网络)之间的特定子集的中度弱、长程连接中观察到最强的遗传影响。这些发现可能有助于确定大脑韧性与神经和精神疾病中观察到的网络水平改变之间的联系,并为未来研究针对生理和病理干扰的大脑屏蔽干预措施提供信息。